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English(EN) $\texttt{AMEND++}$: Benchmarking Eligibility Criteria Amendments in Clinical Trials

新的基准套件AMEND++可预测临床试验资格标准修正

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出AMEND++，一个旨在预测临床试验资格标准修正的新基准套件。该套件包含两个数据集：AMEND，追踪公开试验的历史编辑和修正标签；以及AMEND_LLM，一个专注于实质性变更的精选子集。他们还开发了变化感知掩码语言模型（CAMLM），一种利用历史编辑改进修正预测的预训练策略，在各种基线模型上显示出持续的收益。 AI

影响 通过预测昂贵的修正，可能简化临床试验流程。

排序理由 该集群包含一篇学术论文，介绍了一个特定NLP任务的新基准套件和方法论。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的基准套件AMEND++可预测临床试验资格标准修正

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该集群包含一篇学术论文，介绍了一个特定NLP任务的新基准套件和方法论。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Trisha Das, Mandis Beigi, Jacob Aptekar, Jimeng Sun ·

    $\texttt{AMEND++}$：临床试验资格标准修订的基准测试

    arXiv:2601.06300v2 Announce Type: replace Abstract: Clinical trial amendments frequently introduce delays, increased costs, and administrative burden, with eligibility criteria being the most commonly amended component. We introduce \textit{eligibility criteria amendment predicti…

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